Attempted test_api fix. Turning off dropout.

  #                        Metric(metrics.mean_squared_error),

  #                        Metric(metrics.mean_absolute_error)]

  #  model = SingleTaskDNN(tasks, task_types, model_params, self.model_dir)

  #  # Fit trained model

  #  model.fit(train_dataset)

  #  model.save()

    """Straightforward test of Keras multitask deepchem classification API."""

    ############################################################# DEBUG

    g = tf.Graph()

    #sess = tf.Session(graph=g)

    sess = tf.Session()

    sess = tf.Session(graph=g)

    K.set_session(sess)

    with g.as_default():

    ############################################################# DEBUG

      task_type = "classification"

      # TODO(rbharath): There should be some automatic check to ensure that all

      # required model_params are specified.

      # TODO(rbharath): Turning off dropout to make tests behave.

      model_params = {"nb_hidden": 10, "activation": "relu",

                    "dropout": .5, "learning_rate": .01,

                      "dropout": .0, "learning_rate": .01,

                      "momentum": .9, "nesterov": False,

                      "decay": 1e-4, "batch_size": 5,

                      "nb_epoch": 2, "init": "glorot_uniform",